ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · ANDOVER, MA · OCTOBER 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/andover/october-2023-report
Monthly Traffic Safety Analysis
119 CRASHES IN
ANDOVER, MA
OCTOBER 2023
Total crashes in Andover increased by 27.96% year-over-year, rising from 93 in October 2022 to 119 in October 2023. The most notable shift was the absence of fatal crashes in October 2023, compared to one fatal crash reported in October 2022. This period also saw an increase in total injuries from 24 to 32.
119
▲ 28.0%was 93
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
32
▲ 33.3%was 24
Persons Injured
8
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 1 crash with unreported severity is not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crashes in Andover are trending upwards, with a 27.96% increase in total crashes from 93 in October 2022 to 119 in October 2023. Despite this rise in overall incidents, there was a positive trend in safety outcomes, as fatal crashes decreased from one to zero year-over-year. Total injuries, however, increased by 33.3%, from 24 to 32.
8
Hit-and-Run Crashes — October 2023
▼ 0.0% vs prior (8)
Hit-and-run crashes remained constant at 8 incidents in both October 2022 and October 2023. However, due to an increase in total crashes, the hit-and-run rate decreased from 8.6% in the prior period to 6.7% in the current period. This indicates a downward trend in the proportion of hit-and-run incidents relative to all crashes.
Vulnerable Road User Casualties
0
Motorists Killed
32
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Thursday with 18 incidents in October 2022 to Wednesday with 29 incidents in October 2023. The peak hour also shifted, with 4 PM being the peak in October 2022 with 9 crashes, while 5 PM became the peak in October 2023 with 10 crashes. This suggests a slight shift in crash concentration towards mid-week and later afternoon hours.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
In October 2023, there were no fatal crashes, a decrease from one fatal crash in October 2022, which represented 1.08% of all crashes that month. Total injuries increased by 33.3% year-over-year, rising from 24 in October 2022 to 32 in October 2023. The proportion of total injuries relative to total crashes slightly increased from 25.8% in the prior period to 26.9% in the current period.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Most severe injury per crash record
Top Contributing Factors
''Followed too closely'' remained the leading contributing factor, increasing by 11 crashes from 23 in October 2022 to 34 in October 2023. Crashes attributed to ''Failed to yield right of way'' more than doubled, rising from 6 to 14 crashes, and moving from fourth to third in ranking. Conversely, ''No improper driving'' crashes decreased by 5, from 21 to 16, and ''Inattention'' crashes decreased by 4, from 14 to 10.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
In October 2023, crashes on wet road surfaces decreased significantly to 13, down from 23 in October 2022, representing 10.9% and 24.7% of total crashes respectively. Similarly, crashes during rainy weather conditions decreased from 19 to 10, dropping from 20.4% to 8.4% of total crashes. Crashes occurring in dark conditions (roadway not lighted or lighted) increased from 24 in October 2022 to 35 in October 2023, rising from 25.8% to 29.4% of all crashes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Road surface condition field
Vehicles & Demographics
The 35-44 age group saw a substantial increase in representation among persons involved in crashes, rising from 31 in October 2022 to 99 in October 2023. The 26-34 age group also significantly increased, from 40 to 77 persons, while the 0-15 age group decreased from 7 to 5 persons. Among vehicle makes, TOYOTA remained the most frequently involved, increasing from 29 to 33, and FORD saw a notable increase from 10 to 26 vehicles, moving from fifth to second in ranking.
Top Vehicle Makes (226 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Vehicle unit records
13 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (309 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 65 mph speed zone increased from 45 to 49, and notably, this zone recorded 1 fatal crash in October 2022 but none in October 2023. Crashes in the 25 mph zone more than doubled, rising from 5 to 17 year-over-year. Conversely, crashes in the 30 mph zone decreased by 10, from 22 to 12 incidents.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: Arcgis_yearly Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2023-10-01 through 2023-10-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-10-01 through 2023-10-31 (31 days)
- Geographic scope: ANDOVER, MA
- Total crash records analyzed: 119
- Total persons involved: 330
- Total vehicles involved: 226
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "ANDOVER, MA Crash Intelligence Report: October 2023." Published June 21, 2026. Reporting period: 2023-10-01 to 2023-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/october-2023-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2023-10-01 – 2023-10-31
Generated: June 21, 2026 · All rights reserved